ENGSCI 314 : Mathematical Modelling 3ES
Engineering
2024 Semester Two (1245) (15 POINTS)
Course Prescription
Course Overview
- Probability
- Data Analysis
- Ordinary Differential Equations
- Partial Differential Equations
- Mon 11am-12pm
- Tue 3-4pm
- Thurs+Fri 10-11am
Capabilities Developed in this Course
| Capability 3: | Knowledge and Practice |
| Capability 4: | Critical Thinking |
| Capability 6: | Communication |
Learning Outcomes
- Understand and evaluate sampling methods, surveys, observational studies and experiments, and the sources of error that arise from these studies. (Capability 3.1, 3.2 and 4.1)
- Model problems involving uncertainty using probability methods, including discrete, continuous, joint and conditional probability distributions. (Capability 3.1, 3.2 and 4.1)
- Further develop understanding of linear regression models, as applied to situations with multiple variables, interactions, and generalised linear models for classification. (Capability 3.1, 3.2 and 4.1)
- Conduct analyses in R on the type of data that arises in engineering practice, and communicate the results. (Capability 3.1, 3.2, 4.1 and 6.1)
- Further develop knowledge of solving first and second order systems of ordinary differential equations, using eigenvalue and eigenvector methods. (Capability 3.1, 3.2 and 4.1)
- Understand and use ODE solution methods to analyse signals and determine the stability of the solution to a system of ODEs. (Capability 3.1, 3.2 and 4.1)
- Formulate and solve physical models requiring the use of partial differential equations, using separation of variables. (Capability 3.1, 3.2 and 4.1)
- Understand how finite difference methods can be applied to solve partial differential equations numerically. (Capability 3.1, 3.2 and 4.1)
Assessments
| Assessment Type | Percentage | Classification |
|---|---|---|
| Final Exam | 55% | Individual Examination |
| Assignments | 16% | Individual Coursework |
| Quizzes | 14% | Individual Coursework |
| Test | 15% | Individual Test |
| 4 types | 100% |
| Assessment Type | Learning Outcome Addressed | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |||
| Final Exam | ||||||||||
| Assignments | ||||||||||
| Quizzes | ||||||||||
| Test | ||||||||||
10% Rule applies: final mark cannot exceed exam mark by more than 10 percentage points.
Workload Expectations
This course is a standard 15 point course and students are expected to spend 10 hours per week involved in each 15 point course that they are enrolled in.
For this course, you can expect 4 hours of lectures and/or lectorials, 3 hours of reading and thinking about the content and 3 hours of work on assignments and/or test preparation.
Delivery Mode
Campus Experience
Lectures will be available as recordings.
The course may include recorded lectorials once a week as appropriate.
Attendance on campus is required for the test and exam.
The final exam will take place in a form prescribed by University policy.
The activities for the course are scheduled as a standard weekly timetable.
Learning Resources
Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).
Please remember that the recording of any class on a personal device requires the permission of the instructor.
Health & Safety
Students are expected to adhere to the guidelines outlined in the Health and Safety section of the Engineering Undergraduate Handbook.
Student Feedback
At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.
Your feedback helps teachers to improve the course and its delivery for future students.
Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.
Based on feedback from 2023, the following improvements will be made:
- Basic Skills Quiz will be maintained as an assessment.
- There will be more regular lectorials, for the differential equations topics.
- Course content will be stabilised to ensure that assessment expectations are maintained between deliveries.
Other Information
The course policy for late assignments, extensions and exemptions will be published on Canvas when that is available. This policy will be strictly enforced.
Academic Integrity
The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed for potential plagiarism or other forms of academic misconduct, using computerised detection mechanisms.
Class Representatives
Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.
Inclusive Learning
All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.
Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz
Special Circumstances
If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.
If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.
This should be done as soon as possible and no later than seven days after the affected test or exam date.
All queries regarding coursework extensions or exemptions should be directed to the course coordinator. Appropriate evidence may be requested.
Please note that pressure of coursework alone or personal travel are not sufficient reasons to grant extensions or exemptions. Extensions will also not be granted for individual technological issues, or submitting incorrect files to Canvas. Please ensure that you give yourself sufficient time to check that you have submitted the correct files for each assignment.
Learning Continuity
In the event of an unexpected disruption, we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and course assessment continues to meet the principles of the University’s assessment policy. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator/director, and if disruption occurs you should refer to the university website for information about how to proceed.
Student Charter and Responsibilities
The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.
Disclaimer
Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.
In this course students may be asked to submit coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. In exceptional circumstances changes to elements of this course may be necessary at short notice. Students enrolled in this course will be informed of any such changes and the reasons for them, as soon as possible, through Canvas.